Offerta di lavoro Computer Vision & MLOps Engineer a Zürich presso ARTIDIS.
Candidati su JobsinITALY.it (riferimento #35456) per questa posizione a Zürich, Schweiz.
**About ARTIDIS**
Artidis® AG is a pioneering clinical stage health technology company that aims to set the gold standard in tissue analysis and therapy optimization. By combining its nanotechnology platform for rapid tissue analysis with a holistic data solution, Artidis® accelerates drug discovery, tissue engineering, and personalized treatment. Artidis® focuses its research and development efforts on solid tumors to enhance responses to chemotherapy, immunotherapy, and cell therapies, driving precision in cancer care.
**Job Purpose**
This role combines deep technical expertise in computer vision with strong MLOps capabilities to build and maintain production-grade AI systems.
**Duties**
- Develop and deploy computer vision models for:
- Medical image classification
- Advanced segmentation
- Complex image analysis
- Implement solutions using deep learning and classical techniques
- Optimize models for medical device and cloud deployment
- Design and implement end-to-end ML pipelines
- Manage model lifecycle from experimentation to production
- Build, automate and maintain scalable MLOps infrastructure
- Implement robust monitoring and observability solutions
**Qualifications**
Technical Skills - ML & Computer Vision:
- Proficiency in Python data stack (TensorFlow, PyTorch, numpy, pandas, scikit-learn).
- Experience with OpenCV and other relevant computer vision libraries.
- Strong background in computer vision solutions for medical images.
- Expertise in developing and implementing computer vision solutions mainly image segmentation and object recognition.
Technical Skills - DevOps & MLOps:
- Experience with Kubernetes operators and custom resources.
- Proficiency in Docker containerization and multi-stage builds.
- Advanced Git knowledge (branching strategies, workflows).
- Experience Building and maintaining end-to-end ML pipelines.
- Hands-on experience with Argo CD and Argo Workflows for ML pipelines.
- Experience with infrastructure automation tools like: Helm charts for Kubernetes deployments.
- Experience setting up and maintaining CI/CD pipelines.
- Hands-on experience with model lifecycle management.
- Hands-on experience with MLOps platforms: MLflow, Kubeflow...
**Professional Skills**
- High level of expression and comprehension of the English language.
- Experience in digital health and driving innovation in healthcare is highly desirable.
- Commitment to writing documented, clear, efficient, and maintainable code.
- Ability to design and implement requirements with long-term objectives, scalability, and maintainability in mind.
- Proactive way of communicating and working.
- Ability to work independently and take ownership without extensive supervision.
- Strong team player.
**Working Conditions**
The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the possibility to take responsibility, a highly driven team, and work serving a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance.
Länk för att ansöka:
https://artidis-ag.breezy.hr/p/df6ed2a60c7f-computer-vision-mlops-engineer
